Scientists develop artificial neurons that physically mimic brain activity, paving the way for low-power, high-efficiency AI ...

Could computers ever learn more like humans do, without relying on artificial intelligence (AI) systems that must undergo ...

Researchers at the USC Viterbi School of Engineering and School of Advanced Computing have developed artificial neurons that ...

Research by scientists who study neuromorphic computing, which is a field that mimics how the human brain transmits ...

USC scientists design brain-like neurons that learn in hardware, not software, paving the way for energy-efficient AI general ...

The next competitive edge won’t come from brute force. It will come from systems that think more like markets themselves ...

A new paper published in PLOS One shows that mushrooms can act as the "memristors" required for many next-gen computing ...

A new neuromorphic processor brings AI computation into the analog domain, performing real-time inference in microseconds ...

Recent advancements in neuromorphic computing have enabled significant progress in dynamic motion recognition, yet distinguishing high-speed and ...

Researchers are developing magnonic processors that use magnetic spin waves instead of electric current to process data.

A team at University of Massachusetts Amherst developed artificial neurons that fire in the same voltage range as living cells. Silicon and biology can now speak the same electrical language.